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PAKDD
2000
ACM
100views Data Mining» more  PAKDD 2000»
15 years 4 months ago
Discovery of Relevant Weights by Minimizing Cross-Validation Error
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
Kazumi Saito, Ryohei Nakano
122
Voted
BMVC
1998
15 years 2 months ago
A Novel Approach to Real-time Non-intrusive Gaze Finding
We investigate a holistic approach to real-time gaze tracking by means of a well-defined neural network modelling strategy combined with robust image processing algorithms. Based ...
Li-Qun Xu, Dave Machin, Phil Sheppard
100
Voted
TSMC
2008
128views more  TSMC 2008»
15 years 21 days ago
Adaptive Sensor Placement and Boundary Estimation for Monitoring Mass Objects
Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could...
Zhen Guo, MengChu Zhou, Guofei Jiang
99
Voted
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 1 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
15 years 7 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld